Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)

Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recent advances in AI techniques, as well as enabling hardware and infrastructure, has led to the integration of AI in wide-ranging domains and tasks. In particular, AI has been used to handle various types of data (including numerical, textual and image data) and has been adopted in large-scale distributed systems. From a data management perspective, this calls for the harnessing of state-of-the-art AI solutions for data management tasks and systems. aiDM is a full-day workshop that offers a stage for innovative interdisciplinary research that studies the interaction between AI and data management and develops new AI technologies for data-related tasks. This year, aiDM'23 particularly focuses on the transparent exploitation of AI techniques in existing enterprise-level data management workloads.

Original languageEnglish
Title of host publicationSIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages303-304
Number of pages2
ISBN (Electronic)9781450395076
DOIs
StatePublished - 4 Jun 2023
Event2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023 - Seattle, United States
Duration: 18 Jun 202323 Jun 2023

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023
Country/TerritoryUnited States
CitySeattle
Period18/06/2323/06/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Funding

Some authors are financially supported by the Israel Science Foundation (grant no. 2015/21) and a grant from the Israel Ministry of Science and Technology.

FundersFunder number
Israel Science Foundation2015/21
Ministry of science and technology, Israel

    Keywords

    • artificial intelligence
    • data management
    • machine learning

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